Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)

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Big Data Personalized Teaching Under the Guidance of Ideological and Political Courses

Authors
Qin Zhang1, *
1School of Logistics Engineering, Shanghai Maritime University, Shanghai, 201306, China
*Corresponding author. Email: qinzhang@shmtu.edu.cn
Corresponding Author
Qin Zhang
Available Online 26 September 2023.
DOI
10.2991/978-94-6463-238-5_75How to use a DOI?
Keywords
curriculum ideology; big data; Kolb learning style; personalized education
Abstract

To implement the fundamental task of cultivating students with moral character and the goal of constructing new engineering disciplines, this paper addresses the issue of how to apply teaching methods to students with diverse backgrounds. With the guidance of curriculum ideology, based on the teaching objectives of cultivating innovative electrical engineers in accordance with the Washington Accord, process-oriented big data analysis is used to analyze the learning situation and students’ learning styles, driving the teaching mode of designing grouping and layering according to students’ characteristics, ultimately crystallizing the personalized education model of new engineering disciplines driven by big data. The results showed that the proposed teaching mode can promote the progress of all students with Kolb learning style based on big data.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
Series
Advances in Intelligent Systems Research
Publication Date
26 September 2023
ISBN
978-94-6463-238-5
ISSN
1951-6851
DOI
10.2991/978-94-6463-238-5_75How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Qin Zhang
PY  - 2023
DA  - 2023/09/26
TI  - Big Data Personalized Teaching Under the Guidance of Ideological and Political Courses
BT  - Proceedings of the 2023 4th International Conference on Big Data and Informatization Education (ICBDIE 2023)
PB  - Atlantis Press
SP  - 542
EP  - 547
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-238-5_75
DO  - 10.2991/978-94-6463-238-5_75
ID  - Zhang2023
ER  -